Triple

T20709869
Position Surface form Disambiguated ID Type / Status
Subject Lazikē E509005 entity
Predicate alternativeName P39 FINISHED
Object Egrisi NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Egrisi | Statement: [Lazikē, alternativeName, Egrisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egrisi
Context triple: [Lazikē, alternativeName, Egrisi]
  • A. Egrisi chosen
    Egrisi was a medieval Georgian kingdom that emerged as a successor to ancient Colchis in the western Caucasus region.
  • B. Gialova
    Gialova is a small coastal village in Messenia, Greece, known for its scenic bay, wetlands, and proximity to historical and natural attractions such as Navarino Bay and Voidokilia Beach.
  • C. Byala
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • D. Cérons
    Cérons is a French wine appellation in the Graves region of Bordeaux, known for its sweet white wines made primarily from Semillon, Sauvignon Blanc, and Muscadelle grapes.
  • E. Gagea
    Gagea is a genus of small, early-flowering bulbous plants known for their star-shaped yellow blossoms, commonly found in temperate regions of Eurasia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1974ba08190b0e5ad529be95e4c completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.